A comparative study on Arrhenius-type constitutive equations and artificial neural network model to predict high-temperature deformation behaviour in 12Cr3WV steel

Ferritic/martensitic steels for next-generation reactors

R.L. Klueh, Andrew Nelson · Journal of Nuclear Materials · 2007 · 881 citations

Engineering, Materials Engineering, Materials Science +14

A comparative study on Johnson Cook, modified Zerilli–Armstrong and Arrhenius-type constitutive models to predict elevated temperature flow behaviour in modified 9Cr–1Mo steel

Dipti Samantaray, Sumantra Mandal, A.K. Bhaduri · Computational Materials Science · 2009 · 371 citations

Engineering, Materials Engineering, Materials Science +11

Application of neural networks to predict the elevated temperature flow behavior of a low alloy steel

Y.C. Lin, Jun Zhang, Jue Zhong · Computational Materials Science · 2008 · 303 citations

Engineering, Materials Engineering, Materials Science +16

Stabilization of martensitic microstructure in advanced 9Cr steel during creep at high temperature

Fujio Abe, Tatsuo Horiuchi, M. Taneike et al. · Materials Science and Engineering A · 2004 · 228 citations

Natural Sciences, Materials Engineering, Materials Science +16

Artificial neural network modeling to evaluate and predict the deformation behavior of stainless steel type AISI 304L during hot torsion

Sumantra Mandal, P.V. Sivaprasad, S. Venugopal et al. · Applied Soft Computing · 2008 · 206 citations

Natural Sciences, Materials Engineering, Materials Science +16